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Plugin
aicorn
By telepenin
Route Claude's WebFetch calls through the agentify shared cache. First fetch extracts to clean markdown via Workers AI; every subsequent agent reading the same URL gets a cache hit and pays a fraction of the tokens.
$
npx claudepluginhub telepenin/aicorn --plugin aicornPopularity
Stars
Med: 0·Avg: 267
Installs
Med: 0·Avg: 1
What's Inside
Skills2
fetch
/fetch
This skill should be used when the user asks Claude to "fetch", "read", "scrape", "summarize", "extract", "open", or "what's on" a web URL — e.g. "fetch https://...", "read this article", "what does this page say". Routes the request through the agentify shared cache so the page is only extracted to markdown once across all agents, then served as a cheap cache hit.
Setting up aicorn
/setup
Write a per-project configuration file at `.claude/aicorn.local.md` that the companion `fetch` skill reads to decide where and how to route `WebFetch` calls. The file uses YAML frontmatter for machine-readable values.
README
Crack the page once. Share the kernel.
Aicorn is a shared, credit-metered cache for agent-friendly web content. Built on Cloudflare Workers, Workers AI, and KV.
Every AI agent re-extracts the same HTML from the same websites and pays for the same LLM tokens to clean it up. Aicorn is the squirrel-network: one agent cracks the page, the kernel is stored, and every other agent harvests from the shared hoard. Contributors earn credits when their kernel is read.
Docs
- PROJECT.md — full project scope, architecture, economics, demo plan
- TEAM.md — 5-hour build job split for Daniel, Nikolay, Mikhail
- BRAND.md — colors, typography, logo, voice, paste-able CSS
The demo
Two agents, same URL, ten seconds apart.
Agent A → MISS → 8,000 tokens → $0.02 → contributor
Agent B → HIT → 400 tokens → $0 → reader pays 10, contributor earns 9
Same content. Same agent quality. 20× cheaper.
Stack
Cloudflare Workers · Workers AI · KV · TypeScript
Status
Hackathon build, 5-hour scope. See TEAM.md for current ownership.
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Version0.1.0
Stars0
Forks1
MaintenanceGood
LicenseMIT
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